{"id":"W2048928413","doi":"10.3168/jds.2008-1569","title":"Timothy silage with low dietary cation-anion difference fed to nonlactating cows","year":2009,"lang":"en","type":"article","venue":"Journal of Dairy Science","topic":"Ruminant Nutrition and Digestive Physiology","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Université Laval","funders":"Ministère de l'Agriculture et de l'Alimentation; Fonds Québécois de la Recherche sur la Nature et les Technologies; BARD; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation; Ministry of Agriculture - Saskatchewan; Church and Dwight; Université Laval","keywords":"Silage; Animal science; Chemistry; Dry matter; Latin square; Ice calving; Hay; Forage; Urine; Lactation; Rumen; Fermentation; Food science; Biochemistry; Biology; Agronomy; Pregnancy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002235278,0.0003934345,0.0006737525,0.0003947487,0.0002426311,0.0004401435,0.0004350091,0.000321752,0.001547331],"category_scores_gemma":[0.0003465804,0.0002040494,0.0003203279,0.0002751408,0.0003369295,0.0002752673,0.0003042972,0.0005696819,0.000257038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006113729,"about_ca_system_score_gemma":0.0003941566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002458765,"about_ca_topic_score_gemma":0.004534403,"domain_scores_codex":[0.9997924,0.0000442345,0.00001988911,0.00004805398,0.00004740689,0.00004804422],"domain_scores_gemma":[0.999466,0.00006737252,0.0001846048,0.00002771565,0.00003461805,0.0002196638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01740609,0.001328136,0.001996246,0.0001158882,0.00005825959,0.00005549459,0.00008043741,0.00008061543,0.9741743,0.00003353569,0.00006058125,0.004610373],"study_design_scores_gemma":[0.002002698,0.0891422,0.1229486,0.00007145797,0.0005247245,0.0002920827,0.0004612851,0.002703959,0.776507,0.0001157921,0.005188945,0.00004120466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993681,0.0002216641,0.0001396552,0.0000246129,0.00001378473,0.00001094267,0.00006573708,0.00001106523,0.0001444128],"genre_scores_gemma":[0.9938691,0.0004966105,0.002766418,0.0001669844,0.00003690507,0.0000690167,0.0005984961,0.000018256,0.00197818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002458765,"threshold_uncertainty_score":0.005176365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891870015376563,"score_gpt":0.2507537614815493,"score_spread":0.2318350613277836,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}